1 Overview

For these exploratory runs there were 100 objectives to optimize, all with the target of 100 and an accuracy requirement of 99%. The population was size 512, and there was a point mutation probability of .7% at each objective.

2 Mu Lambda Selection

2.1 Time Series Data

2.1.1 Population Trait Average Performance

2.1.2 Population Average Maximum Trait Performance

2.1.3 Population Average Optimal Trait Count

2.1.4 Population Average Maximum Optimal Trait Count

2.1.5 Population Unique Starting Positions

2.2 End Of Run Data

2.2.1 Population Trait Average Performance

2.2.2 Population Average Maximum Trait Performance

2.2.3 Population Average Optimal Trait Count

2.2.4 Population Average Maximum Optimal Trait Count

2.2.5 Population Unique Starting Positions

2.3 Best Value Throughout Run

2.3.1 Population Trait Average Performance

2.3.2 Population Best Trait Average Performance

2.3.3 Population Average Optimal Trait Count

2.3.4 Population Maximum Average Optimal Trait Count

2.3.5 Population Unique Optimal Traits

2.3.6 Population Starting Positions

3 Tournament

3.1 Time Series Data

3.1.1 Population Trait Average Performance

3.1.2 Population Maximum Average Trait Performance

3.1.3 Population Average Optimal Trait Count

3.1.4 Population Average Maimum Optimal Trait Count

3.1.5 Population Unique Starting Positions

3.2 End Of Run Data

3.2.1 Population Trait Average Performance

3.2.2 Population Average Maximum Trait Performance

3.2.3 Population Average Optimal Trait Count

3.2.4 Population Average Maximum Optimal Trait Count

3.2.5 Population Unique Starting Positions

3.3 Best Value Throughout Run

3.3.1 Population Trait Average Performance

3.3.2 Population Best Trait Average Performance

3.3.3 Population Average Optimal Trait Count

3.3.4 Population Maximum Average Optimal Trait Count

3.3.5 Population Unique Optimal Traits

3.3.6 Population Starting Positions

4 Lexicase

4.1 Time Series Data

4.1.1 Population Average Trait Performance

4.1.2 Population Average Maximum Trait Performance

4.1.3 Population Average Optimal Trait Count

4.1.4 Population Average Maimum Optimal Trait Count

4.1.5 Population Unique Starting Positions

4.2 End Of Run Data

4.2.1 Population Trait Average Performance

4.2.2 Population Average Maximum Trait Performance

4.2.3 Population Average Optimal Trait Count

4.2.4 Population Average Maximum Optimal Trait Count

4.2.5 Population Unique Starting Positions

4.3 Best Value Throughout Run

4.3.1 Population Trait Average Performance

4.3.2 Population Best Trait Average Performance

4.3.3 Population Average Optimal Trait Count

4.3.4 Population Maximum Average Optimal Trait Count

4.3.5 Population Unique Optimal Traits

4.3.6 Population Starting Positions

5 Fitness Sharing

5.1 Time Series Data

5.1.1 Population Average Trait Performance

5.1.2 Population Average Maximum Trait Performance

5.1.3 Population Average Optimal Trait Count

5.1.4 Population Average Maimum Optimal Trait Count

5.1.5 Population Unique Starting Positions

5.2 End Of Run Data

5.2.1 Population Trait Average Performance

5.2.2 Population Average Maximum Trait Performance

5.2.3 Population Average Optimal Trait Count

5.2.4 Population Average Maximum Optimal Trait Count

5.2.5 Population Unique Starting Positions

5.3 Best Value Throughout Run

5.3.1 Population Trait Average Performance

5.3.2 Population Best Trait Average Performance

5.3.3 Population Average Optimal Trait Count

5.3.4 Population Maximum Average Optimal Trait Count

5.3.5 Population Unique Optimal Traits

5.3.6 Population Starting Positions

6 Novelty Euclidean

6.1 Time Series Data

6.1.1 Population Average Trait Performance

6.1.2 Population Average Maximum Trait Performance

6.1.3 Population Average Optimal Trait Count

6.1.4 Population Average Maimum Optimal Trait Count

6.1.5 Population Unique Starting Positions

6.2 End Of Run Data

6.2.1 Population Trait Average Performance

6.2.2 Population Average Maximum Trait Performance

6.2.3 Population Average Optimal Trait Count

6.2.4 Population Average Maximum Optimal Trait Count

6.2.5 Population Unique Starting Positions

6.3 Best Value Throughout Run

6.3.1 Population Trait Average Performance

6.3.2 Population Best Trait Average Performance

6.3.3 Population Average Optimal Trait Count

6.3.4 Population Maximum Average Optimal Trait Count

6.3.5 Population Unique Optimal Traits

6.3.6 Population Starting Positions